| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 381292 | Engineering Applications of Artificial Intelligence | 2010 | 8 Pages |
Abstract
This paper presents a novel control design technique in order to obtain a guaranteed cost fuzzy controller subject to constraints on the input channel. This guaranteed cost control law is obtained via multi-parametric quadratic programming. The result is a piecewise fuzzy control law where the state partition is defined by fuzzy inequalities. The parameters of the Lyapunov function can be obtained previously using Linear Matrix Inequalities optimization.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Carlos Ariño, Emilio Pérez, Antonio Sala,